librerias

Bases de letras filtradas por idioma

# lyrics = mongo(collection = "lyrics", db = "spotify_dm" )
# df_lyrics <- lyrics$find('{}')
# 
# write.csv(df_lyrics, "data/df_lyrics.csv")


df_lyrics <- read.csv("data/df_lyrics.csv") %>% 
  select(-X)

df_lyrics_unicas <- df_lyrics %>% 
  distinct(artist_name, track_name, lyrics)


#filtro de idioma
spa_lyrics = df_lyrics_unicas[textcat(df_lyrics_unicas$lyrics)=="spanish",]
spa_lyrics

en_lyrics = df_lyrics_unicas[textcat(df_lyrics_unicas$lyrics) %in% c("english", "scots"),]
en_lyrics

#chequeo cantidad de canciones por idioma
100*(nrow(en_lyrics) + nrow(spa_lyrics))/nrow(df_lyrics_unicas)
[1] 89.86784
# tabla contingencia de idiomas
idiomas = textcat(df_lyrics_unicas$lyrics)
sort(table(idiomas), decreasing = T)
idiomas
       english          scots        spanish         german middle_frisian        catalan     portuguese         french 
           528            527            169             46             37             22              8              7 
       italian         breton           manx        frisian      rumantsch        turkish 
             6              5              3              2              1              1 

limpieza español

inspect(corpus.pro[1])
Error in (function (classes, fdef, mtable)  : 
  unable to find an inherited method for function ‘inspect’ for signature ‘"SimpleCorpus"’

limpieza ingles

head(en_lyrics$lyrics, 1)
[1] "look good together reason watch night long yeah know will turn heads forever tonight gonna show walking watch whole room change baby baby play blame confidenceoh blame measurements shut shit sight right dripping finesse make sense dripping finesse know know dripping finesse make sense dripping finesse know know now slow baby love way feels grind yeah connection magnetic floor nothing can stop us tonight walking watch whole room change baby baby play blame confidenceoh blame measurements shut shit sight right dripping finesse make sense dripping finesse know know dripping finesse make sense dripping finesse know know fellas grab ladies lady fine tell one one life woo ladies grab fellas let right right one like mind ow yeah got going got going feel good us ayy yeah got going got going yeah girl got going yeah got going got going hey feel good us ayy feels good yeah got going got going dripping finesse dripping make sense dripping finesse know know dripping finesse baby make sense dripping finesse know know yeah know got going yeah got going got going feel good us ayy yeah got going got going know know yeah got going got going girl got feel good us ayy yeah got going got going know know"

Explicit

Español

#Diccionario español
malas_palabras_1 <- read_csv("data/malas_palabras.txt", 
    col_names = FALSE)

malas_palabras_2 <- read_csv("data/malas_palabras_translate.txt", 
    col_names = FALSE)

malas_palabras_3 <- read_csv("data/malas_palabras_wiki.txt", 
    col_names = FALSE) %>% 
  select(X1)

malas_palabras_4 <- read_csv("data/palabras_profanas_es.txt", 
                             col_names = FALSE)

malas_palabras <- rbind(malas_palabras_1, malas_palabras_2,
                        malas_palabras_3, malas_palabras_4)


#Función para limpiar. 
text_cleaning_esp = function(txt, stop=FALSE){
  txt = sub('^.+?\\[.*?\\]',"", txt) #ok
  txt = sub("More on Genius.*","", txt)
  txt = gsub('\\[.*?\\]', '', txt)
  txt = gsub("\\n"," ", txt)
  txt = gsub("[()]", " ", txt)
  txt = tolower(txt)
  # txt = decontracted(txt)
  txt = gsub("\\W+\\b", " ", txt)
  txt = gsub("\\d", " ", txt)
  txt = str_trim(txt)
  # txt = stri_trans_general(txt, "Latin-ASCII")
  return(txt)
}


malas_palabras$limpias = text_cleaning(malas_palabras$X1)
malas_palabras

malas_palabras %>% filter(startsWith(limpias, "g"))

Inglés

matriz término documento

frecuencia de términos

# Dataframe con frecuencia de terminos (de rows)
dtm_to_freq <- TermDocumentMatrix(corpus.pro, control = list(weighting =  "weightTf"))
matriz_td_to_freq <- as.matrix(dtm_to_freq)
freq_term <- sort(rowSums(matriz_td_to_freq), decreasing=TRUE )
df_freq <- data.frame(termino = names(freq_term), frecuencia=freq_term)
row.names(df_freq) <- NULL
head(df_freq)


## Graficos de terminos
N=15
barplot(df_freq[1:N,]$frecuencia, las = 2, names.arg = df_freq[1:N,]$termino,
        col ="lightblue", main ="Palabras más frecuentes",
        ylab = "Frecuencia de palabras", ylim = c(0, max(df_freq$frecuencia)+300))


topK = head(df_freq, 100)

# Visualización de los resultados
# Nube de Etiquetas
library("wordcloud")
library("RColorBrewer")

par(bg="grey30") # Fijamos el fondo en color gris

set.seed(1234)
wordcloud(words = topK$termino, freq = topK$frecuencia, min.freq = 1,
          max.words=200, random.order=FALSE, rot.per=0.35, 
          colors=brewer.pal(4, "Dark2"))
---
title: "lyrics"
output: html_notebook
---

# librerias
```{r message=FALSE, warning=FALSE, include=FALSE}
library(ggplot2)
library(tidyverse)
library(readxl)
library(reshape)
library(reshape2)
library(mongolite)
library(textcat)
library(tm)
library(sentimentr)
library(stringr)
library(arules)
```


# Bases de letras filtradas por idioma
```{r}
# lyrics = mongo(collection = "lyrics", db = "spotify_dm" )
# df_lyrics <- lyrics$find('{}')
# 
# write.csv(df_lyrics, "data/df_lyrics.csv")

df_lyrics <- read.csv("data/df_lyrics.csv") %>% 
  select(-X)

df_lyrics_unicas <- df_lyrics %>% 
  distinct(artist_name, track_name, lyrics)


#filtro de idioma
spa_lyrics = df_lyrics_unicas[textcat(df_lyrics_unicas$lyrics)=="spanish",]
spa_lyrics

en_lyrics = df_lyrics_unicas[textcat(df_lyrics_unicas$lyrics) %in% c("english", "scots"),]
en_lyrics

#chequeo cantidad de canciones por idioma
100*(nrow(en_lyrics) + nrow(spa_lyrics))/nrow(df_lyrics_unicas)

# tabla contingencia de idiomas
idiomas = textcat(df_lyrics_unicas$lyrics)
# sort(table(idiomas), decreasing = T)

```

# limpieza español
```{r}
# comentar y descomentar según se elija un dataframe u otro
# df_lyrics_seleccionado = df_lyrics_unicas
df_lyrics_seleccionado = en_lyrics

corpus = Corpus(VectorSource(enc2utf8(df_lyrics_seleccionado$lyrics)))

# Eliminamos espacios
corpus.pro <- tm_map(corpus, stripWhitespace)
inspect(corpus.pro[1])

# Elimino todo lo que aparece antes del primer []
corpus.pro <- tm_map(corpus.pro, content_transformer(
  function(x) sub('^.+?\\[.*?\\]',"", x)))
# inspect(corpus.pro[1])

# Elimino las aclaraciones en las canciones, por ejemplo:
# [Verso 1: Luis Fonsi & Daddy Yankee]
corpus.pro <- tm_map(corpus.pro, content_transformer(
  function(x) gsub('\\[.*?\\]', '', x)))

# Elimino todo lo que aparece luego de 'More on Genius'
corpus.pro <- tm_map(corpus.pro, content_transformer(function(x) gsub("More on Genius.*","", x)))

# Convertimos el texto a minúsculas
corpus.pro <- tm_map(corpus.pro, content_transformer(tolower))

# removemos números
corpus.pro <- tm_map(corpus.pro, removeNumbers)

# Podemos agregar palabras a las stopwords
# my_stopwords <- append(stopwords("spanish"), 'palabra')
my_stopwords <- append(stopwords("english"), c('yeah', "aint", "get", "got"))

# Removemos palabras vacias 
corpus.pro <- tm_map(corpus.pro, removeWords, stopwords("english"))
corpus.pro <- tm_map(corpus.pro, removeWords, my_stopwords)
# corpus.pro <- tm_map(corpus.pro, removeWords, stopwords("spanish"))
# inspect(corpus.pro[1])


# Removemos puntuaciones
corpus.pro <- tm_map(corpus.pro, removePunctuation)

# Removemos todo lo que no es alfanumérico
corpus.pro <- tm_map(corpus.pro, content_transformer(function(x) str_replace_all(x, "[[:punct:]]", " ")))

# En tm_map podemos utilizar funciones prop
library(stringi)
replaceAcentos <- function(x) {stri_trans_general(x, "Latin-ASCII")}
corpus.pro <- tm_map(corpus.pro, replaceAcentos)

# Eliminamos espacios que se van generando con los reemplazos
corpus.pro <- tm_map(corpus.pro, stripWhitespace)
```

# limpieza ingles
```{r}
#funciones
#funcion para corregir palabras
decontracted = function(txt){
  txt = gsub("won't", "will not", txt)
  txt = gsub("\\'s", " is", txt)
  txt = gsub("\\'t", " not", txt)
  txt = gsub("\\'ll", " will", txt)
  txt = gsub("\\'m", " am", txt)
  txt = gsub("\\'re", " are", txt)
  txt = gsub("\\'d", " had", txt)
  txt = gsub("\\'ve", " have", txt)
  txt = gsub("couldn", "could", txt)
  txt = gsub("don", "do", txt)
  txt = gsub("doesn", "does", txt)
  txt = gsub("isn", "is", txt)
  txt = gsub("mustn", "must", txt)
  txt = gsub("shouldn", "should", txt)
  txt = gsub("wasn", "was", txt)
  txt = gsub("\\'cause", " because", txt)
  txt = gsub("\\'", "g", txt)
  return(txt)
}


#Función para limpiar. 
text_cleaning = function(txt, stop=FALSE, language){
  
  txt = sub('^.+?\\[.*?\\]',"", txt) #ok
  txt = sub("More on Genius.*","", txt)
  txt = gsub('\\[.*?\\]', '', txt)
  txt = gsub("\\n"," ", txt)
  txt = gsub("[()]", " ", txt)
  txt = tolower(txt)
  txt = decontracted(txt)
  txt = gsub("\\W+\\b", " ", txt)
  txt = gsub("\\d", " ", txt)
  
  stopwords_regex = paste(stopwords('en'), collapse = '\\b|\\b')
  stopwords_regex = paste0('\\b', stopwords_regex, '\\b')
  txt = stringr::str_replace_all(txt, stopwords_regex, '')

  my_stopwords <- c('ooh', 'yeah', "aint", "get", "got", "ayy")
  txt = stringr::str_replace_all(txt, my_stopwords, '')
   
  txt = str_trim(txt)
  txt = gsub("\\n"," ", txt)
  
  if(language == "en"){
    return(txt)
  }else if (language == "es"){
    txt <- function(x) {stri_trans_general(x, "Latin-ASCII")}
      return(txt) 
  }else{
        return("Falta definir lenguaje")
      }
}

#función para obtener oraciones de una sola palabra. 
one_word_setences = function(txt){
  return(gsub("\\W+\\b", ". ", txt))
}

#limpio las letras en ingles
en_lyrics$lyrics = text_cleaning(en_lyrics$lyrics, language = "en")

head(en_lyrics$lyrics, 1)


```



# Explicit
## Español
```{r}
#Diccionario español
malas_palabras_1 <- read_csv("data/malas_palabras.txt", 
    col_names = FALSE)

malas_palabras_2 <- read_csv("data/malas_palabras_translate.txt", 
    col_names = FALSE)

malas_palabras_3 <- read_csv("data/malas_palabras_wiki.txt", 
    col_names = FALSE) %>% 
  select(X1)

malas_palabras_4 <- read_csv("data/palabras_profanas_es.txt", 
                             col_names = FALSE)

malas_palabras <- rbind(malas_palabras_1, malas_palabras_2,
                        malas_palabras_3, malas_palabras_4)


#Función para limpiar. 
text_cleaning_esp = function(txt, stop=FALSE){
  txt = sub('^.+?\\[.*?\\]',"", txt) #ok
  txt = sub("More on Genius.*","", txt)
  txt = gsub('\\[.*?\\]', '', txt)
  txt = gsub("\\n"," ", txt)
  txt = gsub("[()]", " ", txt)
  txt = tolower(txt)
  # txt = decontracted(txt)
  txt = gsub("\\W+\\b", " ", txt)
  txt = gsub("\\d", " ", txt)
  txt = str_trim(txt)
  # txt = stri_trans_general(txt, "Latin-ASCII")
  return(txt)
}


malas_palabras$limpias = text_cleaning(malas_palabras$X1)
malas_palabras

malas_palabras %>% filter(startsWith(limpias, "g"))

```

## Inglés
```{r}
#Genero lista de malas palabras
bad_words <- c()
bad_words <- append(bad_words, unique(tolower(lexicon::profanity_zac_anger)))
bad_words <- append(bad_words, unique(tolower(lexicon::profanity_alvarez)))
bad_words <- append(bad_words, unique(tolower(lexicon::profanity_arr_bad)))
bad_words <- append(bad_words, unique(tolower(lexicon::profanity_racist)))
bad_words <- append(bad_words, unique(tolower(lexicon::profanity_banned)))
bad_words <- unique(bad_words)

biglou <- read.csv("https://www.cs.cmu.edu/~biglou/resources/bad-words.txt", header=FALSE, col.names = c("words"))


#Función para obtener palabras profanas de cada lyric
get_profanities = function(txt, profanity_lst){
  # txt = text_cleaning(txt)
  words = as.data.frame(strsplit(txt, "[ ]+"), col.names = "words")
  profan_df = profanity(get_sentences(words), profanity_list = profanity_lst)
  profan_words = profan_df[profan_df$profanity_count!=0,]$words
  vector = as.vector(profan_words)
  if (length(vector)==0){
    return(NULL)
  }
  else{return(as.vector(profan_words))
    }
}



en_lyrics$profabe_biglou <- lapply(en_lyrics$lyrics,  function(x) get_profanities(x, biglou$words))

en_lyrics %>% 
  mutate(profane_biglou = unlist(get_profanities(lyrics, biglou$words)))

en_lyrics$profabe_biglou = unlist(strsplit(en_lyrics$profabe_biglou, split = " "))

en_lyrics$profabe_badwords <- lapply(en_lyrics$lyrics, function(x) get_profanities(x, bad_words))

str(en_lyrics)
head(en_lyrics,1)

en_lyrics$profabe_biglou[3]

```


# matriz término documento
```{r}
####################################################################
####### Generación de la Matríz Término-Documento del corpus #######
####################################################################
corpus.pro2tdm <- function(corpus, ponderacion, n_terms){
  #corpus
  
  
  #matriz TD 
  dtm <- TermDocumentMatrix(corpus,
                            control = list(weighting = ponderacion))
  matriz_td <- as.matrix(dtm)
  
  
  # Calculamos la frecuencia de cada término en el corpus
  freq_term <- head(sort(rowSums(matriz_td),decreasing=TRUE), n_terms)
  
  #matriz transpuesta de los n_terms mas frecuentes
  matriz_nf <- t(matriz_td[sort(names(freq_term)), ])
  
  #pasaje a binario
  matriz_nf[matriz_nf>0] <- 1
  
  return(matriz_nf)
  
  }
  
corpus_eng = Corpus(VectorSource(enc2utf8(en_lyrics$lyrics)))
matriz <- corpus.pro2tdm(corpus = corpus_eng, ponderacion= "weightTf",n_terms= 150)

dim(matriz)

df_tm <- as.data.frame(matriz)
head(df_tm,2)

## Join matriz de palabras con artista y track
df_ly_feat <- cbind(df_lyrics_seleccionado[-c(3)], df_tm)

nrow(df_tm)
nrow(df_lyrics_seleccionado)
nrow(df_ly_feat)

filter <- !names(df_ly_feat) %in% c("artist_name", "track_name" )

df_ly_feat_ok <- df_ly_feat[, filter]
# df_ly_feat_ok = df_ly_feat_ok[, -(which(colSums(df_ly_feat_ok) == 0))]

# colSums(df_ly_feat_ok)

head(df_ly_feat_ok, 3)
head(df_ly_feat, 3)


df_ly_feat$id = 1:nrow(df_ly_feat)

df_melt <- reshape2::melt(data = df_ly_feat[,3:ncol(df_ly_feat)], id.vars = c("id"))  %>%
  arrange(id)

df_melt <- df_melt[df_melt$value != 0,]

df_melt_txt <- df_melt[df_melt$value == 1,]
df_melt_cat <- df_melt[df_melt$value != 1,]

head(df_melt_txt )
dim(df_melt_txt )

#denomino a los términos profanos
df_melt_txt <- df_melt_txt %>% 
  mutate(variable = case_when(as.character(variable) %in% biglou$words ~
                                paste0("PROF_", as.character(variable)),
                              T ~ paste0("TERM_", as.character(variable))
                              )  
         )

df_melt_txt %>% filter(startsWith(variable, "PROF"))


# df_melt_txt[df_melt_txt$variable %in% biglou$words,]


df_melt_txt_to_ruls <- df_melt_txt[, -c(3)]
names(df_melt_txt_to_ruls) <- c("id", "item")

write.table(df_melt_txt_to_ruls, file="data/transaccions_lyrics_features.txt", row.names = F)

# Reglas
# chequear nan's
lyrics_trans <- read.transactions("data/transaccions_lyrics_features.txt", format = "single", cols = c(1,2))

arules::inspect(head(lyrics_trans, 3))

summary(lyrics_trans)
reglas <- apriori(lyrics_trans, parameter = list(support=0.1,
                    confidence = 0.5, target  = "rules"  ))

reglas_sub <- subset(reglas, subset = rhs %pin% "PROF_")
arules::inspect(head(sort(reglas_sub, by = "lift", decreasing = T),5))

```



# frecuencia de términos
```{r}
# Dataframe con frecuencia de terminos (de rows)
dtm_to_freq <- TermDocumentMatrix(corpus.pro, control = list(weighting =  "weightTf"))
matriz_td_to_freq <- as.matrix(dtm_to_freq)
freq_term <- sort(rowSums(matriz_td_to_freq), decreasing=TRUE )
df_freq <- data.frame(termino = names(freq_term), frecuencia=freq_term)
row.names(df_freq) <- NULL
head(df_freq)


## Graficos de terminos
N=15
barplot(df_freq[1:N,]$frecuencia, las = 2, names.arg = df_freq[1:N,]$termino,
        col ="lightblue", main ="Palabras más frecuentes",
        ylab = "Frecuencia de palabras", ylim = c(0, max(df_freq$frecuencia)+300))


topK = head(df_freq, 100)

# Visualización de los resultados
# Nube de Etiquetas
library("wordcloud")
library("RColorBrewer")

par(bg="grey30") # Fijamos el fondo en color gris

set.seed(1234)
wordcloud(words = topK$termino, freq = topK$frecuencia, min.freq = 1,
          max.words=200, random.order=FALSE, rot.per=0.35, 
          colors=brewer.pal(4, "Dark2"))



```


